Explore the power of creativity and innovation with Dev Bhoomi Uttarakhand University's (DBUU) B.Tech CSE 2.0 Specialization in Generative AI Collaboration with Microsoft.. DBUU's School of Engineering and Computing is renowned for its exceptional faculty and industry-aligned curriculum. This unique undergraduate program equips you with the technical expertise and design thinking skills to become a leader in the rapidly evolving field of Generative AI.
Through a blend of core computer science principles, machine learning foundations, and specialized Generative AI courses, you'll delve into topics like deep learning, image generation, natural language processing, and adversarial networks. DBUU's emphasis on hands-on learning ensures you gain practical experience by working on real-world projects, preparing you to tackle the challenges and opportunities that lie ahead in the Generative AI landscape.
Merit-based admission process with online application at Dev Bhoomi Uttarakhand University.
Course | Total Fee |
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Academic fee( Per Sem) | ₹ 1,00,000/- |
Industry Integrated Specialization Fee (Per Semester) | ₹ 12,500/- |
Application Fee (Non-Refundable) | Admission Fee (Non-Refundable) | University Enrollment Fee (Non-Refundable) |
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₹ 1,500 | ₹ 7,000 | ₹ 3,000 |
Exam fees ( Per Semester) | ₹ 4,500/- |
Download Fee Structure | Click here |
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PEO-1 | Develop a strong foundation in computer science fundamentals, algorithms, and data structures. |
PEO-2 | Master the principles of machine learning and deep learning, including neural networks and their applications. |
PEO-3 | Gain a comprehensive understanding of Generative AI concepts, techniques, and their potential impact across various industries. |
PEO-4 | Cultivate critical thinking, problem-solving, and analytical skills essential for success in the field of AI. |
PEO-5 | Grow effective communication, teamwork, and collaboration skills to excel in a dynamic and collaborative work environment. |
PSO-1 | Implement various Generative AI models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). |
PSO-2 | Apply Generative AI techniques for tasks like image and text generation, music composition, and data augmentation. |
PSO-3 | Evaluate and analyze the ethical considerations and potential biases inherent in Generative AI systems. |
PSO-4 | Design and develop innovative Generative AI applications for solving real-world problems in diverse domains. |
PSO-4 | Stay updated with the latest advancements in Generative AI research and effectively communicate your findings to both technical and non-technical audiences. |
This specialized program opens doors to exciting career paths in
Generative AI Engineer
Machine Learning Engineer
Research Scientist (Generative AI)
Computer Vision Engineer
Natural Language Processing Engineer
AI Product Developer
Robotics Engineer
Data Scientist (Generative AI)
And many more emerging roles in the AI field.